We just finished upgrading our Server Side BOINC code as well as a large amount of database upgrades, and work is now flowing again. This upgrade will now allow us to push out new apps more easily, and with the new scheduler we should see some possible efficiency gains due to the inclusion of OpenMP.

We have also released a new ACT-R Lisp application running the latest version of CCL lisp. This release also includes a number of updates to the application that should help resolve many of the processing errors we have been seeing recently.

We have more updates on the way, thank you all for your support, and happy crunching!

A GPU is designed on extreme parallel processing. I would have thought the brain is very parallel in processing. Are the cognitive models corresponding with parallel processing?

What I mean is the gpu has been used in at least image object detection, classifying and natural language processing. http://devblogs.nvidia.com/parallelforall/deep-learning-for-computer-vision-with-matlab-and-cudnn/
So at least it can be applied in these areas. The brain is believed to have a similar structure from one part to another. It does not matter what the function of that area is. It just matters what it is connected to that determines the function. So this may mean the gpu could be universal for most brain functions.

To answer myself. As it has been already stated none of the cognitive models are compatible with gpu processing ATM. This may or probably is synonymous with parallel processing. So I may have a wrong understanding of MindModeling, in that it is a search for most likely cognitive models. Not actually simulating cognitive models. If it is iterative search, each step depending on previous results then it cannot be paralell. I don't know of answering myself this way is wrong or correct.

Your initial understanding was correct we do simulate cognitive models. To be more specific, our project specializes in parallel parameter evaluations of cognitive models, meaning: we run many independent simulations under varying conditions(both for the model of the environment and the model of the human).

Currently there are no cognitive architectures that support gpus.

If this changes we will create a gpu application and I will definitely let everyone know.